Zawar Khan is a data engineer with eight years of experience delivering data pipelines, ETL/ELT workflows, and cloud-based analytics solutions in IT services. Based in Norderstedt, Germany, he combines strong Python development with hands-on experience in AWS, data science tooling, and predictive modeling across finance, transportation, and agriculture domains. He currently serves as a Data Engineer at Mercury Media Technology GmbH, building scalable data infrastructure and analytics capabilities. An active open-source contributor, he helped enhance the Airbyte platform by adding an end-date configuration to the source-tiktok-marketing connector and aligning tests and versioning. He has led and participated in data science workshops and projects, including Python-based data extraction services, credit rating analyses, and predictive modeling in both enterprise and consulting settings. Zawar holds a CS degree from the National University of Computer and Emerging Sciences and a strong foundation in applied mathematics for data science from Hochschule Mittweida.
8 years of coding experience
5 years of employment as a software developer
Applied Mathematics For Networks And Data Science, Applied Sciences, Applied Mathematics For Networks And Data Science, Applied Sciences at Hochschule Mittweida (FH)
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at National University of Computer and Emerging Sciences
High School, Science, High School, Science at Beaconhouse
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Role in this project:
Back-end Developer
Contributions:30 reviews, 41 commits, 11 PRs in 9 months
Contributions summary:Zawar contributed to the development of the source-tiktok-marketing connector within the airbyte platform, specifically adding an end date configuration to the connector. They modified source code files, updated specification files, and integrated unit tests to ensure proper functionality and data replication. The user also made updates related to version bumping and formatting.
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